The use of imaging spectroscopy for florisic mapping of forests is complicated by the spectral similarity among co-existing species. Here we evaluated an alternative spectral unmixing strategy combining a time series of EO-1 Hyperion images and an automated feature selection in Multiple Endmember Spectral Mixture Analysis (MESMA). The temporal analysis provided a way to incorporate species phen...

■ Spatial pixel sizes for multispectral and hyperspectral sensors are often large enough that numerous disparate substances can contribute to the spectrum measured from a single pixel. Consequently, the desire to extract from a spectrum the constituent materials in the mixture, as well as the proportions in which they appear, is important to numerous tactical scenarios in which subpixel detail ...

The pixels of remote images often contain more than one distinct material (mixed pixels), and so their spectra are characterized by a mixture spectral signals. Since 1971, shared effort has enabled the development techniques for retrieving information from mixed pixels. most analyzed, implemented, employed procedure is unmixing. Among extensive literature on unmixing, nineteen reviews were iden...

The direct detection of exoplanets with high-contrast instruments can be boosted high spectral resolution. For integral field spectrographs yielding hyperspectral data, this means that the view consists diffracted starlight spectra and a spatially localized planet. Analysis usually relies on cross-correlation theoretical spectra. In purely blind-search context, supervised strategy biased model ...

Spectral unmixing is a consequential preprocessing task in hyperspectral image interpretation. With the help of large spectral libraries, equivalent to finding optimal subset library entries that can best model image. Sparse regression techniques have been widely used solve this optimization problem, since number materials present scene usually small. However, high mutual coherence signatures n...